In this paper, a comparative study based

-This paper considers the impact of the Inductive Fault Current Limiter (IFCL) on d irect ional overcurrent relays coordination. The coordination problem is formulated as a non-linear constrained mono-objective optimization problem. The objective function of this optimizat ion problem is the minimizat ion of the operation time of the associated relays in the systems, and the decision variab les are: the time dial setting (TDS) and the pickup current setting (I P ) of each relay. To solve this co mplex non linear optimization problem, a variant of optimization algorith ms named Firefly A lgorith m (FA) is used. The proposed method is tested on 8-bus power transmission systems test systems considering the influences of current relay under three-phases short-circuit with and without IFCL for d ifferent locality. The results show the effectiveness of the solution.

No abstract

Abstract-This paper presents the application of the Modified Particle Swarm Optimizat ion (MPSO) technique for optimal settings zones for M HO distance relay protect 400 kV single transmission line of Eastern Algerian transmission networks at Algerian Co mpany of Electrical and Gas (Group Sonelgaz) co mpensated by series Flexib le A lternative current Transmission System (FACTS) i.e. Thyristor Controlled Series Capacitor (TCSC) connected at midpoint. The effects of TCSC insertion on the total impedance of a protected transmission line with respect to injected variab le reactance value (X TCSC ) in capacit ive and inductive boost mode depending of the firing angle (α) is considered. The modified setting zone protection for three zones (Z 1 , Z 2 and Z 3 ) is have been investigate in order to prevent circuit breaker nuisance tripping and improve the performances of distance relay protection. In this work our aim is to co mpare the performance of the proposed MPSO algorithm with an analytical method (AM). The findings demonstrate the outstanding performance of the proposed MPSO in terms of co mputation speed, rate of convergence, and feasibility. The simu lation results are co mpared with each other, and then the more perfect algorith m is considered.

No abstract